Journal article
Teaching machines to read and comprehend
- Abstract:
-
Teaching machines to read natural language documents remains an elusive challenge. Machine reading systems can be tested on their ability to answer questions posed on the contents of documents that they have seen, but until now large scale training and test datasets have been missing for this type of evaluation. In this work we define a new methodology that resolves this bottleneck and provides large scale supervised reading comprehension data. This allows us to develop a class of attention b...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Neural Information Processing Systems Publisher's website
- Journal:
- Advances in Neural Information Processing Systems Journal website
- Volume:
- 28
- Pages:
- 1693-1701
- Publication date:
- 2015-12-01
- Acceptance date:
- 2015-08-09
- ISSN:
-
1049-5258
- Source identifiers:
-
527451
Item Description
- Keywords:
- Pubs id:
-
pubs:527451
- UUID:
-
uuid:050e7840-1ff3-49db-8d36-e83ed0adf8f7
- Local pid:
- pubs:527451
- Deposit date:
- 2016-10-16
Terms of use
- Copyright holder:
- Neural Information Processing Systems Foundation
- Copyright date:
- 2015
- Notes:
- © 2016 Neural Information Processing Systems Foundation, Inc.
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